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--- |
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language: |
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- "en" |
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license: mit |
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tags: |
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- fill-mask |
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--- |
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# MedBERT Model |
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MedBERT is a newly pre-trained transformer-based language model for biomedical named entity recognition: initialised with Bio_ClinicalBERT & pre-trained on N2C2, BioNLP and CRAFT community datasets. |
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## How to use |
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```python |
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from transformers import AutoTokenizer, AutoModel |
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tokenizer = AutoTokenizer.from_pretrained("Charangan/MedBERT") |
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model = AutoModel.from_pretrained("Charangan/MedBERT") |
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``` |
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## Citation |
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``` |
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@inproceedings{medbert, |
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title = {{MedBERT: A Pre-Trained Language Model for Biomedical Named Entity Recognition}}, |
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author = {Charangan Vasantharajan and Kyaw Zin Tun and Ho Thi-Nga and Sparsh Jain and Tong Rong and Chng Eng Siong}, |
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booktitle = {Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2022}, |
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year = {2022}, |
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month = {November} |
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} |
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``` |
